

Crossing Hurdles
Machine Learning Engineer | $100/hr Remote
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a 1-2 month contract, paying $100/hr, remote. Requires strong applied machine learning experience or a PhD, Python skills, Docker familiarity, and attention to detail. Independent work under compliance is essential.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
800
-
ποΈ - Date
November 5, 2025
π - Duration
1 to 3 months
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Docker #ML (Machine Learning) #AI (Artificial Intelligence) #Compliance #Python
Role description
At Crossing Hurdles, we work as a referral partner. We refer candidates to our partner that collaborates with worldβs leading AI research labs to build and train cutting-edge AI models.
Position: Machine Learning Engineer
Referral Partner: Crossing Hurdles
Type: Hourly Contract
Compensation: $100/hour
Location: Remote
Duration: 1-2 months (with potential extension)
Commitment: 10-40 hrs/week, flexible and asynchronous
Role Responsibilities (Training support will be provided)
β’ Compile external ML competitions into realistic, challenging tasks involving model training, dataset preparation, and experimentation
β’ Draft detailed, executable natural language plans for completing machine learning engineering tasks
β’ Implement these plans in Python code within a provided Docker environment
β’ Validate code outputs against original plans and document any discrepancies
Requirements
β’ Strong years of experience in applied machine learning or a PhD in machine learning or a closely related field
β’ Strong Python engineering skills, particularly in model training and data handling workflows
β’ Familiarity with Docker-based development environments
β’ Detail-oriented mindset with ability to follow technical specifications precisely
β’ Experience in ML reproducibility, benchmarking, or experimental validation (preferred)
β’ Ability to work independently under compliance-aligned protocols
β’ Access to a desktop or laptop computer (Chromebooks are not supported)
Application Process (15 min)
β’ Upload resume
β’ Participate in AI interview (10 min)
β’ Submit form
At Crossing Hurdles, we work as a referral partner. We refer candidates to our partner that collaborates with worldβs leading AI research labs to build and train cutting-edge AI models.
Position: Machine Learning Engineer
Referral Partner: Crossing Hurdles
Type: Hourly Contract
Compensation: $100/hour
Location: Remote
Duration: 1-2 months (with potential extension)
Commitment: 10-40 hrs/week, flexible and asynchronous
Role Responsibilities (Training support will be provided)
β’ Compile external ML competitions into realistic, challenging tasks involving model training, dataset preparation, and experimentation
β’ Draft detailed, executable natural language plans for completing machine learning engineering tasks
β’ Implement these plans in Python code within a provided Docker environment
β’ Validate code outputs against original plans and document any discrepancies
Requirements
β’ Strong years of experience in applied machine learning or a PhD in machine learning or a closely related field
β’ Strong Python engineering skills, particularly in model training and data handling workflows
β’ Familiarity with Docker-based development environments
β’ Detail-oriented mindset with ability to follow technical specifications precisely
β’ Experience in ML reproducibility, benchmarking, or experimental validation (preferred)
β’ Ability to work independently under compliance-aligned protocols
β’ Access to a desktop or laptop computer (Chromebooks are not supported)
Application Process (15 min)
β’ Upload resume
β’ Participate in AI interview (10 min)
β’ Submit form





